Koenig Original Guaranteed-to-Run

Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment

The Deep Learning Using TensorFlow and Cloud AI course by Koenig Original equips data scientists and AI engineers with practical skills to design, train, and deploy deep learning models using TensorFlow on cloud platforms. It addresses the growing industry demand—driven by over 2 million AI-related job postings in 2023—for professionals who can implement scalable AI solutions. Learners gain hands-on expertise in neural networks, CNNs, and NLP to solve real-world challenges in computer vision and language processing.

This course prepares learners for the Google TensorFlow Developer Certificate, a performance-based exam validating real-world model-building skills. With Koenig’s 30-day lab access and official vendor-authorized courseware, students master TensorFlow through guided practice. Graduates emerge ready to accelerate AI innovation and qualify for high-impact roles in machine learning and cloud AI engineering.

48 Hours (6 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 On Request
Dedicated instructor, your schedule Fastest
Public Batch On Request
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The Deep Learning Using TensorFlow and Cloud AI course by Koenig Original is designed for data scientists, machine learning engineers, and AI developers seeking to master deep learning with TensorFlow and cloud-based AI platforms. This comprehensive training prepares learners for the Google TensorFlow Developer Certificate exam, a globally recognized credential validating practical proficiency in building and training neural networks. With over 11,000 professionals certified worldwide and growing adoption by tech firms like Google and NVIDIA, this course equips individuals for high-impact roles in AI development, computer vision engineering, and natural language processing. Participants gain industry-relevant skills aligned with real-world deployment scenarios in scalable cloud environments.

Students engage with key technologies including TensorFlow 2.x, Keras, Google Cloud AI Platform, AWS SageMaker, and Microsoft Azure Machine Learning. The hands-on labs are conducted in a live cloud lab environment where learners build, train, and deploy deep learning models using real-world datasets. A core project involves developing an image classification system using convolutional neural networks (CNNs), implementing data augmentation, dropout layers, and transfer learning techniques to prevent overfitting. Learners also work on sequence models for time series forecasting and NLP tasks, using RNNs, LSTMs, and Transformers, all within a performance-based lab framework that mirrors actual AI engineering workflows.

This Koenig Original course directly prepares candidates for the Google TensorFlow Developer Certificate, a credential with global recognition that validates hands-on expertise in deep learning. Certified professionals report average salary increases of 20-30% and enhanced opportunities in AI-driven industries. Koenig differentiates itself through its Guaranteed-to-Run batches and optional 1-on-1 training, ensuring personalized, flexible learning with expert instructors. Graduates emerge ready to lead AI model development projects, deploy scalable solutions on cloud platforms, and advance into senior machine learning engineering and AI architecture roles.

What You'll Learn

✓Build advanced deep learning models using Keras and TensorFlow to solve complex problems efficiently
✓Set up distributed training with TensorFlow on Google Cloud to accelerate model development
✓Create scalable data input pipelines tailored for Cloud AI Platform to handle large datasets
✓Deploy machine learning models seamlessly on Google Cloud MLE for real-time predictions
✓Enhance model performance through hyperparameter tuning in Cloud AI to achieve higher accuracy
✓Track and manage deep learning workflows on Google Cloud for improved reliability and productivity

Skills You'll Gain

TensorFlow Deep Learning Neural Networks Google Cloud AI Platform Convolutional Neural Networks Computer Vision Natural Language Processing Sequence Models Time Series Prediction Transfer Learning Dropout Regularization Data Augmentation RNNs LSTMs GRUs Tokenization Cloud AI Notebooks

Prerequisites

Recommended knowledge before taking this course
  • Minimum 6 months of professional experience with Python 3.x.
  • Completion of a foundational machine learning course covering neural network architectures and backpropagation.
  • Familiarity with Keras API for rapid prototyping of neural networks.
  • Working knowledge of Google Cloud Platform (GCP) services, specifically Vertex AI, Cloud Storage, and Compute Engine.
  • Recommended: Prior exposure to TensorFlow 2.x for model development and training workflows.
  • Understanding of distributed computing concepts and parallel processing for scaling deep learning models.
Corporate Training
Get a Corporate Quote

Volume discounts · Dedicated account manager · Custom scheduling

WhatsApp Email us

We'll respond within 1 business day · No spam, ever.

Certification Exam

Everything you need to know about the Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
Let's Talk

Request for more information

Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment

WhatsApp us Email us

We'll respond within 1 business day · No spam, ever.

Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Deep Learning Using TensorFlow and Cloud AI
Deep Learning for Computer Vision Essentials Neural Network Neuron Architecture Analysis Core Machine Learning Fundamentals TensorFlow Framework Overview Tensor Definition and Operations Variable and Constant Tensor Types Configuring TensorFlow 2.0 Environments TensorFlow 2.0 Practical Lab
2
Day 2– Computer Vision and Image Processing Mastery
Computer Vision Industry Introduction Real-world Computer Vision Applications Key Computer Vision Terminologies OpenCV Library Integration NumPy Image Processing Basics RGB Channel Data Manipulation Advanced Image Filtering Techniques OpenCV Practical Implementation Lab
3
Day 3– Convolutional Neural Networks (CNN) Deployment
Convolutional Mathematical Principles Color Image Convolution Operations CNN Architecture Design Patterns CNN Development Code Preparation MNIST Dataset CNN Construction Essential CNN Building Blocks Sampling and Quantization Methods CNN Implementation Practical Lab
4
Day 4– Advanced CNN Architectures and Transfer Learning
LeNet Architecture Performance Study Deep Learning GPU vs CPU Transfer Learning Core Principles Transfer Learning Practical Application Feature Detection and Descriptor Extraction Optimized Model Fitting Techniques Semantic Segmentation Workflow U-Net Architecture Design Overview
5
Day 5– Object Detection and Advanced AI Models
Sliding Window Object Detection R-CNN, Fast R-CNN, Faster R-CNN YOLO v3 Framework Introduction YOLO Weights Setup and Configuration YOLO v3 Python Implementation Siamese Network Metric Learning Siamese Neural Network Training Object Detection Practical Lab

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

85%

of Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Machine Learning Engineer
  • AI/ML Developer
  • Cloud AI Engineer
  • Deep Learning Specialist
  • TensorFlow Developer
  • AI Solutions Architect

Companies Hiring

5,000+
Google Microsoft Amazon Accenture Deloitte Infosys Wipro TCS Capgemini Goldman Sachs

and 5,000+ organizations worldwide seeking Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment training course

Is the certification exam included in the course fee for Deep Learning Using TensorFlow and Cloud AI?
The certification exam is not included in the course fee; it requires a separate $100 USD payment to Google. Koenig Solutions provides expert training for Deep Learning Using TensorFlow and Cloud AI but does not bundle the exam voucher. Candidates must register independently for the TensorFlow Developer Certificate.
What training formats are available for this course, and is there a Guaranteed-to-Run schedule?
Koenig offers live online 1-on-1, public batches, and classroom training for Deep Learning Using TensorFlow and Cloud AI, all Guaranteed-to-Run (GTR). We also provide self-paced Flexi Video options, ensuring you gain flexible access to master these essential AI skills without waiting for group schedules.
How long is lab access provided, and what environment is used for hands-on practice?
You receive 6 months of lab access starting from your course delivery date. We use cloud-hosted TensorFlow environments integrated with Google Cloud AI. This allows you to build and train models in real-world scenarios, ensuring you gain practical experience with industry-standard tools.
What is Koenig's rescheduling and cancellation policy for this course?
Koenig allows free rescheduling of live training sessions if requested at least 7 days before the start date. Cancellations made within 7 days incur a 15% administrative fee. Earlier cancellations are eligible for a full refund, providing you with flexible planning options.
What is the format, duration, and passing score of the TensorFlow Developer Certificate exam?
The exam is a 5-hour, performance-based test requiring you to build five models in PyCharm using TensorFlow 2.x. It covers computer vision, NLP, and sequence modeling with automatic grading. You must achieve a 90% score to pass, following official Google certification guidelines.
How long is the TensorFlow Developer Certificate valid, and how can it be renewed?
The TensorFlow Developer Certificate remains valid for 36 months from the date of issuance. To renew your credential, you must retake and pass the current version of the exam by paying the $100 fee, as there is no audit-based renewal option available.
What post-training support does Koenig provide after completing the Deep Learning Using TensorFlow and Cloud AI course?
Koenig provides 6 hours of free post-training consultation, dedicated doubt-clearing sessions, and 1 year of access to updated materials. You also receive a participation certificate and expert guidance to ensure you are fully prepared for your TensorFlow Developer Certificate exam.
What are the prerequisites or recommended experience for enrolling in this course?
You should have foundational Python programming skills and basic machine learning knowledge. Prior neural network experience is helpful but not mandatory. This course empowers developers and data scientists to master deep learning using TensorFlow and Cloud AI platforms effectively.
What is the average salary impact for professionals certified in TensorFlow after completing this course?
TensorFlow-certified professionals see an average salary increase of 20-30%. Entry-level roles average $95,000, while experienced professionals often exceed $130,000 annually. This certification significantly boosts your career prospects in AI engineering, machine learning, and advanced cloud-based deep learning roles.
How does Koenig's training compare to self-study for the TensorFlow Developer Certificate?
Koenig's 40-hour live instruction and expert mentorship significantly improve pass rates compared to self-study. Our guided approach focuses on exam-specific tasks and real-world model building, which reduces your preparation time and builds the confidence needed to succeed in your certification.

Still have questions?

Chat with a Training Advisor →

Resources

Learn more about Deep Learning: TensorFlow, CNN/RNN & Cloud Deployment before you enroll

100%

Happiness Guarantee

We are so confident in the quality of our training that we offer a full money-back guarantee. Not satisfied? Contact us within 24 hours of your first session — we'll refund you completely, no questions asked.

Full Refund

Within 24 hours

No Questions

Asked ever

Secure Payment

Encrypted checkout

PCI DSS

Compliant